When researching weather markets on Polymarket, the difference between a successful simulation and a flawed hypothesis often comes down to the fine print. Before you log a single paper trade in MeteoX, you must understand exactly how a market resolves. This process is known as a weather contract settlement source audit. By building a strict pre-simulation checklist, you can ensure that your research aligns perfectly with the platform's official rules. In this guide, we will walk through the essential steps of reading contract rules, identifying the named observation source, verifying units and rounding procedures, and clearly separating preliminary forecast evidence from the ultimate settlement authority.
Why You Need a Pre-Simulation Checklist
Even in a MeteoX research workflow, treating your research with absolute rigor is the only way to build meaningful skills. A weather contract settlement source audit forces you to slow down and verify the mechanics of a market before you form a bias. In weather prediction markets, there are three distinct phases of information: the forecast, the observation, and the finalized settlement result.
The forecast is the prediction, the observation is the preliminary evidence, but the platform's finalized settlement is the absolute rule of law.
The forecast is what meteorological models predict will happen. The observation is the raw data recorded by a weather station as the event unfolds. The platform-finalized settlement result is the ultimate authority based on their unique interpretation of the rules. Confusing these three phases is a common pitfall. A robust pre-simulation checklist ensures you are always evaluating the right data at the right time, preventing you from simulating a market based on a fundamental misunderstanding of the resolution criteria.
Step 1: Reading the Fine Print of Contract Rules
The foundation of any weather contract settlement source audit begins with the contract rules provided by the prediction market. Whether you are looking at Polymarket, every contract has a specific set of conditions that must be met for a market to resolve as a specific outcome. Your audit should verify the following elements:
- Timeframes and Time Zones: Does the market measure the high temperature for a calendar day, or a specific window? Pay close attention to UTC versus local time. Failing to align your simulation timeframe with the contract's timeframe will completely invalidate your research.
- Variable Definitions: If the contract is for precipitation, does it require measurable rain, or does a Trace amount count? If the contract is for temperature, is it looking for the absolute maximum temperature recorded at any point during the day, or the highest hourly reading?
Your pre-simulation checklist must include a mandatory review of these definitions before you begin analyzing any forecast data.
Step 2: Locating the Named Observation Source
Once you understand the rules, you must identify exactly where the platform will pull its data from. Prediction markets do not use general city forecasts to settle contracts; they use specific, named observation sources. This is usually a designated weather station at a major airport, identified by a four-letter ICAO code.
Your weather contract settlement source audit must verify this exact station. A temperature reading in a downtown metropolitan area can differ significantly from the official reading at the regional airport due to urban heat island effects and proximity to bodies of water.
When researching historical data for these specific stations to inform your simulations, you can rely on authoritative archives. For example, the NCEI Integrated Surface Database describes a global archive of hourly and synoptic surface observations. By checking historical station data through such archives, you can understand the microclimate quirks of the named observation source, rather than relying on a generalized regional climate summary.
Step 3: Checking Units, Decimals, and Rounding Rules
One of the most overlooked aspects of a weather contract settlement source audit is the handling of units and rounding. Prediction markets operate on strict mathematical boundaries, and a fraction of a degree can be the difference between a winning and losing simulation.
First, confirm the units. Is the contract settled in Fahrenheit or Celsius? If you are looking at raw meteorological data, it is often reported in Celsius, while US-based prediction markets typically settle in Fahrenheit. You must know the exact conversion formula the platform uses if they perform the conversion themselves.
Second, scrutinize the rounding rules. Does the contract resolve based on the exact decimal reported by the station, or does it round to the nearest whole integer? If it rounds, what is the specific rounding methodology? Some platforms round standardly, while others might truncate the decimal entirely. If a contract resolves at 85 degrees or higher, and the official station reports 84.6 degrees, knowing the rounding rule is the only way to accurately log your simulation outcome. Add a rounding rule checkbox to your pre-simulation checklist to ensure you never miss this detail.
Step 4: Separating Forecast Evidence From Settlement Authority
As an event unfolds, it is tempting to watch live weather station data and assume the market is decided. However, a crucial part of your weather contract settlement source audit is understanding the hierarchy of data.
During the event, you might monitor live observations. For instance, the Aviation Weather Center Data API offers observation evidence but does not replace the contract platform's finalized result. Live METAR data pulled from an API is preliminary. It is highly useful for tracking the event in real-time and updating your simulation notes, but it is not the final word.
Sometimes, preliminary data is corrected by the official meteorological agency hours or even days later due to sensor errors or manual quality control checks. Prediction markets usually have specific clauses detailing how long they will wait for data corrections before finalizing the settlement. Your checklist must distinguish between preliminary observation evidence and the platform-finalized settlement authority. Never log a simulated trade as a definitive win or loss until the platform's specific settlement criteria have been officially met and published.
Building Your MeteoX Simulation Routine
Integrating a weather contract settlement source audit into your daily routine is the best way to build discipline. Before you look at a single weather model or check a forecast grid, open the contract rules. Identify the time zone, the specific station, the rounding rules, and the final settlement authority.
By standardizing this pre-simulation checklist, you protect your research from careless errors. Remember that MeteoX is designed to help you track these variables in a risk-aware hypothetical environment. Our platform operates entirely in MeteoX research workflow, meaning you cannot submit external orders or trade real money. This allows you to focus purely on the analytical process as a hypothetical exercise before considering financial risk.
To explore more about how to structure your research and utilize our simulation tools, we invite you to learn more about MeteoX Trade. For additional strategies on reading weather models and analyzing market setups, be sure to browse the extensive guides available on our blog. Mastering the fine print today will make you a much sharper meteorological researcher tomorrow.
Sources and further reading
- Aviation Weather Center Data API — The API offers observation evidence but does not replace the contract platform's finalized result.
- NCEI Integrated Surface Database — NCEI describes a global archive of hourly and synoptic surface observations.
For the broader topic framework, see our related MeteoX research guide.